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    ⋆This paper has been handled by associate editor Tony Sze.The application of novel connected vehicles emulated data on real-time crash potential prediction for arterials

    Li, Pei / Abdel-Aty, Mohamed / Cai, Qing et al. | Elsevier | 2020
    Schlagwörter: Deep learning

    2D-supervised fast neural fluid reconstruction technique for time-resolved volumetric flame reconstruction

    Zhang, Fuhao / Zhang, Weixuan / Gong, Shuicheng et al. | Elsevier | 2023
    Schlagwörter: Deep learning

    3D CNNs on distance matrices for human action recognition

    Freier Zugriff
    Hernández Ruiz, Alejandro José / Porzi, Lorenzo / Rota Bulò, Samuel et al. | BASE | 2017
    Schlagwörter: deep learning

    3D vehicle detection on an FPGA from LiDAR point clouds

    Freier Zugriff
    García López, Javier / Moreno-Noguer, Francesc / Agudo, Antonio | BASE | 2019
    Schlagwörter: Deep learning

    3D Visualization of MPC-based Algorithms for Autonomous Vehicles

    Freier Zugriff
    Sörliden, Pär | BASE | 2019
    Schlagwörter: deep learning

    3D YOLO: End-to-End 3D Object Detection Using Point Clouds ; 3D YOLO: Objektdetektering i 3D med LiDAR-data

    Freier Zugriff
    Al Hakim, Ezeddin | BASE | 2018
    Schlagwörter: Deep Learning

    4D flight trajectory prediction using a hybrid Deep Learning prediction method based on ADS-B technology: A case study of Hartsfield–Jackson Atlanta International Airport (ATL)

    Shafienya, Hesam / Regan, Amelia C. | Elsevier | 2022
    Schlagwörter: Deep learning

    A Bayesian approach to quantifying uncertainties and improving generalizability in traffic prediction models

    Sengupta, Agnimitra / Mondal, Sudeepta / Das, Adway et al. | Elsevier | 2024
    Schlagwörter: Deep learning

    A Bayesian deep learning method for freeway incident detection with uncertainty quantification

    Liu, Genwang / Jin, Haolin / Li, Jiaze et al. | Elsevier | 2022
    Schlagwörter: Bayesian deep learning

    Accident Detection in Surveillance Camera

    Adil, A. P. / Anandhu, M. G. / Joy, Jeovan Elsa et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning

    A Citizen Science Unmanned Aerial System Data Acquisition Protocol and Deep Learning Techniques for the Automatic Detection and Mapping of Marine Litter Concentrations in the Coastal Zone

    Freier Zugriff
    Apostolos Papakonstantinou / Marios Batsaris / Spyros Spondylidis et al. | DOAJ | 2021
    Schlagwörter: deep learning

    ACNMP: Skill Transfer and Task Extrapolation through Learning from Demonstration and Reinforcement Learning via Representation Sharing

    Freier Zugriff
    Akbulut, Mete Tuluhan / Oztop, Erhan / Seker, Yunus et al. | BASE | 2020
    Schlagwörter: Deep Learning

    A CNN-Based Coherence-Driven Approach for InSAR Phase Unwrapping

    Freier Zugriff
    Sica, Francescopaolo / Calvanese, Francesco / Scarpa, Giuseppe et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2020
    Schlagwörter: Deep Learning

    A cold-start-free reinforcement learning approach for traffic signal control

    Xiao, Nan / Yu, Liang / Yu, Jinqiang et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: deep learning

    A Collaborative Robot Cell for Random Bin-picking based on Deep Learning Policies and a Multi-gripper Switching Strategy

    Freier Zugriff
    Olesen, Albert Sonne / Gergaly, Benedek Benjamin / Ryberg, Emil Albin et al. | BASE | 2020
    Schlagwörter: deep learning

    A Comparison of Deep Learning-Based Monocular Visual Odometry Algorithms

    Jeong, Eunju / Lee, Jaun / Kim, Pyojin | Springer Verlag | 2022
    Schlagwörter: Deep Learning

    A Comprehensive Survey of Transformers for Computer Vision

    Freier Zugriff
    Sonain Jamil / Md. Jalil Piran / Oh-Jin Kwon | DOAJ | 2023
    Schlagwörter: deep learning

    A convolutional neural network method to improve efficiency and visualization in modeling driver’s visual field on roads using MLS data

    Ma, Yang / Zheng, Yubing / Cheng, Jianchuan et al. | Elsevier | 2019
    Schlagwörter: Deep learning

    A Cost-Effective Person-Following System for Assistive Unmanned Vehicles with Deep Learning at the Edge

    Freier Zugriff
    Boschi, Anna / Salvetti, Francesco / Mazzia, Vittorio et al. | BASE | 2020
    Schlagwörter: deep learning

    A critical review on the state-of-the-art and future prospects of machine learning for Earth observation operations

    Miralles, Pablo / Thangavel, Kathiravan / Fulvio Scannapieco, Antonio et al. | Elsevier | 2023
    Schlagwörter: Deep Learning

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